Large-Scale Pre-Stack Seismic Depth-Domain Inversion : A Case Study from the Northern Carnarvon Basin, Offshore Australia

Paxton, Andrea; Kholiq, Abdul; Zhang, L.; Shadlow, James; Shadrina, M.

doi:10.3997/2214-4609.202210228

Cited by 5 publications

(2 citation statements)

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“…In addition, extracted the wavelet from depth-domain seismic data using pseudo-depth conversion and the Gibbs sampling algorithm [18]. Moreover, according to the pseudo-depth conversion, Zhang et al (2022) searched for the wavelet that minimizes the residual difference between the synthetic record and the field data as the estimated constant wavelet in the pseudo-depth domain [19]. In short, domain conversion is timeconsuming and introduces additional uncertainty to the geophysical workflow [20].…”

Section: Introductionmentioning

confidence: 99%

“…Fletcher et al (2012Fletcher et al ( , 2016 replaced the 1D wavelet in conventional time-depth inversion with the point spread functions of depth imaging processing, attaining direct seismic inversion in the depth domain [21,22]. Then this idea was applied to complex subsalt environments [25][26][27][28], depth-domain Q compensation [29], depth-domain deghosting [30], pre-stack depth-domain elastic inversion [31][32][33], 4D inversion in the depth domain [34], and enhanced quantitative interpretation [35]. However, solving the point spread function requires a long computation time and large storage space, and the accuracy of the solution is highly dependent on the accuracy of the built depth-domain velocity model.…”

Section: Introductionmentioning

confidence: 99%

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A Wavelet Extraction Method of Attenuation Media for Direct Acoustic Impedance Inversion in Depth Domain

Sun,

Cai,

Yao

2024

Applied Sciences

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The seismic image produced by pre-stack depth migration is more accurate and has clearer geological significance than the time image. However, the waveform of the depth-domain seismic image is affected not only by depth-dependent velocity variation but also by media attenuation, resulting in strong spectral variation of depth-domain seismic data. Therefore, depth-domain seismic inversion is still challenging. We propose a wavelet extraction method of attenuation media based on the generalized seismic wavelet, to address this issue. Then, the estimated depth-domain wavelets were applied to the direct acoustic impedance inversion. First, we investigated the effect of attenuation media on depth-domain source wavelets and derived an analytical formula for the depth-domain wavelets of attenuation media. Next, the time-domain generalized seismic wavelet was extended to the depth domain, which was utilized to study the feasibility of using the generalized seismic wavelet to characterize the seismic wavelet of the depth-domain attenuation media. Based on the orthogonal matching pursuit, we propose a method to extract the depth-domain generalized seismic wavelet directly from depth-domain seismic data. Finally, we applied this method to the depth-domain direct acoustic impedance inversion of a 3D field data example. Tests on the synthetic and 3D field datasets show that the proposed method can correctly extract the depth-domain seismic wavelet of attenuation media and attain direct inversion of the depth-domain acoustic impedance with high accuracy. Therefore, our method is effective and has robust potential in reservoir characterization, fluid prediction, and attribute extraction in the depth domain.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Wavelet Extraction Method of Attenuation Media for Direct Acoustic Impedance Inversion in Depth Domain

Sun,

Cai,

Yao

2024

Applied Sciences

View full text Add to dashboard Cite

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A depth-variant wavelet extraction method based on the orthogonal matching pursuit for direct inversion

Cai,

Sun,

Yao

2024

Geoenergy Science and Engineering

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A depth-variant seismic wavelet extraction method for basis pursuit inversion with an impedance trend constraint

Cai,

Sun,

Yao

et al. 2024

GEOPHYSICS

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The seismic images produced by pre-stack depth migration show more accurate subsurface structures than time images, resulting in a growing need for depth-domain inversion. However, due to the strong non-stationarity exhibited by depth-domain seismic data, time-domain inversion methods based on the convolutional model cannot be directly applied in the depth domain. To address this issue, we have developed a method for extracting a depth-variant seismic wavelet, which is then combined with a non-stationary convolutional model to enable direct inversion of the depth-domain acoustic impedance. First, we extend the Morlet wavelet to the depth domain and propose an orthogonal matching pursuit spectral decomposition method using the depth-domain Morlet wavelet. We then investigate the waveforms and wavenumber spectra similarities between the depth-domain Morlet wavelet and depth-domain Ricker wavelet and extract depth-variant Ricker wavelets from the depth-wavenumber spectrum. We add a depth-domain impedance trend constraint to the conventional basis pursuit inversion to enhance the lateral continuity of the inversion results. Then, we attain direct inversion of the depth-domain acoustic impedance. Tests of synthetic and field data demonstrate that the proposed method achieves high-accuracy inversion results while maintaining high computational efficiency, highlighting our approach's effectiveness and strong reservoir characterization potential.

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Large-Scale Pre-Stack Seismic Depth-Domain Inversion : A Case Study from the Northern Carnarvon Basin, Offshore Australia

Cited by 5 publications

References 0 publications

A Wavelet Extraction Method of Attenuation Media for Direct Acoustic Impedance Inversion in Depth Domain

A Wavelet Extraction Method of Attenuation Media for Direct Acoustic Impedance Inversion in Depth Domain

A depth-variant wavelet extraction method based on the orthogonal matching pursuit for direct inversion

A depth-variant seismic wavelet extraction method for basis pursuit inversion with an impedance trend constraint

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